Investigating effects of weather parameter uncertainty on transmission line power handling capabilities using affine arithmetic

Rahman, Mahbubur; Kiesau, Mareike; Cecchi, Valentina; Watkins, Bobby

doi:10.1109/pesgm.2017.8274733

Cited by 11 publications

(3 citation statements)

References 17 publications

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“…Another study dealing with the DLR as well as load demand-based uncertainties via a stochastic approach was presented in [105] for a transmission expansion planning problem. The uncertainty of DLR conditions was also handled in [106] using affine arithmetic approach. A detailed structural analysis for the electrothermal dynamics of OHLs was conducted in [107] as a contribution that was further combined with a load flow analysis on IEEE 14-bus sample power system model.…”

Section: Solely Dlr Based Operational Flexibilitymentioning

confidence: 99%

A Comprehensive Overview of Dynamic Line Rating Combined with Other Flexibility Options from an Operational Point of View

et al. 2020

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The need for flexibility in power system operation gradually increases regarding more renewable energy integration, load growth, etc., and the system operators already invest in this manner to enhance the power system operation. Besides, the power system has thermally sensitive assets such as lines, transformers, etc. that are normally operated under highly conservative static ratings. There is a growing trend in this regard to use the actual capacity of such assets dynamically under varying operating conditions leading to a dynamic thermal rating concept which is referred as dynamic line rating (DLR) approach specifically for lines. This study provides a comprehensive overview of existing perspectives on DLR and combination with other flexibility options from an operational point of view. Apart from the existing review studies more focused on implementation category of DLR concept, the concentration on more operational stage from the power system operation point of view leads the difference of this study compared to the mentioned studies. A categorization of the DLR implementation for either being sole or combined usage as a flexibility option is further realized. Besides, a geographically categorized analysis on existing practical evidence on DLR concept and implementations is also presented in this study.

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Section: Solely Dlr Based Operational Flexibilitymentioning

confidence: 99%

A Comprehensive Overview of Dynamic Line Rating Combined with Other Flexibility Options from an Operational Point of View

et al. 2020

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“…Overhead transmission lines usually have four distributed electrical parameters that affect the head-to-end power transmission, which are series resistance, series inductance, shunt capacitance, and shunt conductance [19,20]. These parameters are mainly determined by the characteristics of conductor materials; the characteristics of the electric and magnetic fields based on the conductor geometry can also determine these parameters.…”

Section: Relationship Between Temperature and Line Parametersmentioning

confidence: 99%

Impact of Conductor Temperature Time–Space Variation on the Power System Operational State

et al. 2018

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Abstract:The conductor temperature of an overhead transmission line varies with time and space, which has an important impact on the system operation. In this paper, the conductor temperature is solved iteratively by the CIGRE heat balance equation. The time-space variation of conductor temperature of a 220-kV transmission line is analyzed using real meteorological data from Weihai. Considering the temporal distribution characteristics, the seasonal model of the conductor temperature is given. Considering the spatial distribution, the mean value model, the weight average model, and the segmentation model are established. The system power flow involving the conductor temperature is established based on the relationship between conductor temperature and transmission line parameters. Through the calculation of power flow and the analysis of the maximum power transmission capability, the accuracy of the segmentation model is verified. The results show that the conductor temperature of overhead lines has obvious time-space variation characteristics. It is necessary to consider the time-space variation when analyzing the operation state of power systems.

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“…Daily and weekly changes in demand depend on the behaviour of patterns of different energy consumers [15]. Also, the transmission line parameters are always subject to variations, which could be due to changes in environmental and operation conditions [16]. On the other hand, other reasons for the uncertainty of the transmission line parameters include the lack of measuring devices calibration and inaccurate methods for calculating these parameters [17].…”

Section: Introductionmentioning

confidence: 99%

Robust design of fuzzy‐based power system stabiliser considering uncertainties of loading conditions and transmission line parameters

Shokouhandeh

Jazaeri

2019

IET Generation, Transmission & Distribution

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Investigating effects of weather parameter uncertainty on transmission line power handling capabilities using affine arithmetic

Cited by 11 publications

References 17 publications

A Comprehensive Overview of Dynamic Line Rating Combined with Other Flexibility Options from an Operational Point of View

A Comprehensive Overview of Dynamic Line Rating Combined with Other Flexibility Options from an Operational Point of View

Impact of Conductor Temperature Time–Space Variation on the Power System Operational State

Robust design of fuzzy‐based power system stabiliser considering uncertainties of loading conditions and transmission line parameters

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